pith. sign in

Yuichiro Koyama

Identifiers

  • name variant Yuichiro Koyama 0.60 · backfill

Papers (16)

  1. Zero- and Few-shot Sound Event Localization and Detection cs.SD · 2023 · author #3
  2. STARSS23: An Audio-Visual Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events cs.SD · 2023 · author #8
  3. Diffusion-Based Speech Enhancement with Joint Generative and Predictive Decoders cs.SD · 2023 · author #5
  4. STARSS22: A dataset of spatial recordings of real scenes with spatiotemporal annotations of sound events eess.AS · 2022 · author #6
  5. Distortion Audio Effects: Learning How to Recover the Clean Signal eess.AS · 2022 · author #5
  6. Multi-ACCDOA: Localizing and Detecting Overlapping Sounds from the Same Class with Auxiliary Duplicating Permutation Invariant Training eess.AS · 2021 · author #2
  7. Spatial Data Augmentation with Simulated Room Impulse Responses for Sound Event Localization and Detection cs.SD · 2021 · author #1
  8. Music Source Separation with Deep Equilibrium Models cs.SD · 2021 · author #1
  9. Spatial mixup: Directional loudness modification as data augmentation for sound event localization and detection eess.AS · 2021 · author #3
  10. Ensemble of ACCDOA- and EINV2-based Systems with D3Nets and Impulse Response Simulation for Sound Event Localization and Detection eess.AS · 2021 · author #3
  11. ACCDOA: Activity-Coupled Cartesian Direction of Arrival Representation for Sound Event Localization and Detection eess.AS · 2020 · author #2
  12. Exploring Optimal DNN Architecture for End-to-End Beamformers Based on Time-frequency References eess.AS · 2020 · author #1
  13. Efficient Integration of Multi-channel Information for Speaker-independent Speech Separation eess.AS · 2020 · author #1
  14. Exploring the Best Loss Function for DNN-Based Low-latency Speech Enhancement with Temporal Convolutional Networks eess.AS · 2020 · author #1
  15. W-Net BF: DNN-based Beamformer Using Joint Training Approach cs.SD · 2019 · author #1
  16. Metric Learning with Background Noise Class for Few-shot Detection of Rare Sound Events eess.AS · 2019 · author #2

Mentions

  • 2305.10734 #5 · arxiv_oai · confidence 0.70 Yuichiro Koyama
  • 2309.09223 #3 · arxiv_oai · confidence 0.70 Yuichiro Koyama
  • 2306.09126 #8 · arxiv_oai · confidence 0.70 Yuichiro Koyama
  • 2202.01664 #5 · arxiv_oai · confidence 0.70 Yuichiro Koyama
  • 2206.01948 #6 · arxiv_oai · confidence 0.70 Yuichiro Koyama
  • 2110.06126 #3 · arxiv_oai · confidence 0.70 Yuichiro Koyama
  • 2110.06501 #1 · arxiv_oai · confidence 0.70 Yuichiro Koyama
  • 2110.06494 #1 · arxiv_oai · confidence 0.70 Yuichiro Koyama
  • 2110.07124 #2 · arxiv_oai · confidence 0.70 Yuichiro Koyama
  • 2106.10806 #3 · arxiv_oai · confidence 0.70 Yuichiro Koyama
  • 2010.15306 #2 · arxiv_oai · confidence 0.70 Yuichiro Koyama
  • 2005.11611 #1 · arxiv_oai · confidence 0.70 Yuichiro Koyama
  • 2005.12683 #1 · arxiv_oai · confidence 0.70 Yuichiro Koyama
  • 2005.11612 #1 · arxiv_oai · confidence 0.70 Yuichiro Koyama
  • 1910.14262 #1 · arxiv_oai · confidence 0.70 Yuichiro Koyama
  • 1910.13724 #2 · arxiv_oai · confidence 0.70 Yuichiro Koyama

Frequent Coauthors